Exploring the impact of super-resolution deep learning on MR angiography image quality
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cardiology and Cardiovascular Medicine,Neurology (clinical),Radiology, Nuclear Medicine and imaging
Link
https://link.springer.com/content/pdf/10.1007/s00234-023-03271-1.pdf
Reference24 articles.
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2. Park JE, Jung SC, Lee SH et al (2017) Comparison of 3D magnetic resonance imaging and digital subtraction angiography for intracranial artery stenosis. Eur Radiol 27:4737–4746. https://doi.org/10.1007/s00330-017-4860-6
3. Willinek WA, Born M, Simon B et al (2003) Time-of-flight MR angiography: comparison of 3.0-T imaging and 1.5-T imaging--initial experience. Radiology 229:913–920. https://doi.org/10.1148/radiol.2293020782
4. Meixner CR, Liebig P, Speier P et al (2019) High resolution time-of-flight MR-angiography at 7 T exploiting VERSE saturation, compressed sensing and segmentation. Magn Reson Imaging 63:193–204. https://doi.org/10.1016/j.mri.2019.08.014
5. Stalder AF, Schmidt M, Quick HH et al (2015) Highly undersampled contrast-enhanced MRA with iterative reconstruction: integration in a clinical setting. Magn Reson Med 74:1652–1660. https://doi.org/10.1002/mrm.25565
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